b6a4b26ea39c634adfc46b064375f4af30b7e7a3,Orange/distance/__init__.py,Jaccard,__call__,#Jaccard#Any#Any#Any#,70

Before Change

            x2 = x2.reshape(1, len(x2))
        dist = metrics.pairwise.pairwise_distances(x1, x2, metric="jaccard")
        if dist.size == 1:
            dist = dist[0, ]
        else:
            dist = DistMatrix(dist, e1, e2)
        return dist

After Change

                x2 = x2.T
        if not sparse.issparse(x1):
            x1 = np.atleast_2d(x1)
        if e2 is not None and not sparse.issparse(x2):
            x2 = np.atleast_2d(x2)
        dist = metrics.pairwise.pairwise_distances(x1, x2, metric=self.metric, **kwargs)
        if isinstance(e1, data.Table) or isinstance(e1, data.RowInstance):
            dist = DistMatrix(dist, e1, e2)
        else:

Instances